Numbers API MCP Server for OpenAI Agents SDK 5 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Numbers API through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Numbers API Assistant",
instructions=(
"You help users interact with Numbers API. "
"You have access to 5 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Numbers API"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Numbers API MCP Server
Equip your AI agent with interesting facts and historical context for any number or date via the Numbers API. This server provides instant access to trivia, mathematical properties, and historical events associated with specific numbers and years. Your agent can retrieve date-specific facts, audit mathematical patterns, and provide random interesting context for numerical data without any manual search. Whether you are adding color to a presentation or verifying historical timelines, your agent acts as a dedicated numerical encyclopedia through natural conversation.
The OpenAI Agents SDK auto-discovers all 5 tools from Numbers API through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Numbers API, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Trivia Discovery — Retrieve fun and unusual facts for any integer or random number.
- Math Intelligence — Access technical mathematical properties and interesting patterns for specific numbers.
- Date Auditing — Fetch historical events that occurred on any specific month and day of the year.
- Yearly Context — Retrieve significant historical milestones and facts for any given year.
- Random Inspiration — Get a completely random fact across all categories to discover new knowledge.
The Numbers API MCP Server exposes 5 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Numbers API to OpenAI Agents SDK via MCP
Follow these steps to integrate the Numbers API MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 5 tools from Numbers API
Why Use OpenAI Agents SDK with the Numbers API MCP Server
OpenAI Agents SDK provides unique advantages when paired with Numbers API through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Numbers API + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Numbers API MCP Server delivers measurable value.
Automated workflows: build agents that query Numbers API, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Numbers API, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Numbers API tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Numbers API to resolve tickets, look up records, and update statuses without human intervention
Numbers API MCP Tools for OpenAI Agents SDK (5)
These 5 tools become available when you connect Numbers API to OpenAI Agents SDK via MCP:
get_date_fact
Get a fact about a date
get_math_fact
Get a mathematical fact about a number
get_random_fact
Get a random fact
get_trivia_fact
Get a trivia fact about a number
get_year_fact
Get a fact about a year
Example Prompts for Numbers API in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Numbers API immediately.
"Tell me a trivia fact about the number 42."
"What happened on October 24th in history?"
"Give me a random math fact."
Troubleshooting Numbers API MCP Server with OpenAI Agents SDK
Common issues when connecting Numbers API to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Numbers API + OpenAI Agents SDK FAQ
Common questions about integrating Numbers API MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Numbers API with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Numbers API to OpenAI Agents SDK
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.
